» Articles » PMID: 26360226

System Reliability, Performance and Trust in Adaptable Automation

Overview
Journal Appl Ergon
Specialty Psychology
Date 2015 Sep 12
PMID 26360226
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

The present study examined the effects of reduced system reliability on operator performance and automation management in an adaptable automation environment. 39 operators were randomly assigned to one of three experimental groups: low (60%), medium (80%), and high (100%) reliability of automation support. The support system provided five incremental levels of automation which operators could freely select according to their needs. After 3 h of training on a simulated process control task (AutoCAMS) in which the automation worked infallibly, operator performance and automation management were measured during a 2.5-h testing session. Trust and workload were also assessed through questionnaires. Results showed that although reduced system reliability resulted in lower levels of trust towards automation, there were no corresponding differences in the operators' reliance on automation. While operators showed overall a noteworthy ability to cope with automation failure, there were, however, decrements in diagnostic speed and prospective memory with lower reliability.

Citing Articles

Research on the mechanism of human-machine security collaboration of miners considering automation trust.

Yang J, Yang X, Chai S, Ni L, Wang X, Pan L Heliyon. 2024; 10(23):e39456.

PMID: 39687112 PMC: 11648194. DOI: 10.1016/j.heliyon.2024.e39456.


Using the ISM-ANP-SD combination model to explore the mechanism and intervention strategies of influencing factors of coal mine safety system.

Yang X, Xing Q, Tian K, Liu C, Yang J Front Public Health. 2022; 10:1053298.

PMID: 36504987 PMC: 9731289. DOI: 10.3389/fpubh.2022.1053298.


How transparency modulates trust in artificial intelligence.

Zerilli J, Bhatt U, Weller A Patterns (N Y). 2022; 3(4):100455.

PMID: 35465233 PMC: 9023880. DOI: 10.1016/j.patter.2022.100455.


Adaptive Cognitive Mechanisms to Maintain Calibrated Trust and Reliance in Automation.

Lebiere C, Blaha L, Fallon C, Jefferson B Front Robot AI. 2021; 8:652776.

PMID: 34109222 PMC: 8181412. DOI: 10.3389/frobt.2021.652776.


Examining Senior Drivers' Attitudes Toward Advanced Driver Assistance Systems After Naturalistic Exposure.

Liang D, Lau N, Baker S, Antin J Innov Aging. 2020; 4(3):igaa017.

PMID: 32582868 PMC: 7302428. DOI: 10.1093/geroni/igaa017.